AiCE Challenge Shows Value of 1.5T MR with AI-Based DLR

Vantage Orian 1.5T MR

The powerful Vantage Orian 1.5T MR with Advanced intelligent Clear-IQ Engine (AiCE) Deep Learning Reconstruction (DLR) technology from Canon Medical Systems USA, Inc. delivers high-quality images with high signal-to-noise ratio* — an idea that is put to the test with the AiCE Challenge. The results from the AiCE Challenge are in: whereas 3T images can typically be identified easily when compared to 1.5T images, half of the time respondents had difficulty differentiating between 3T images without AiCE and Orian 1.5T images with AiCE applied**.

“With AiCE on our Vantage Orian 1.5T system, Canon Medical has elevated 1.5T imaging capabilities and allowed clinicians to bring the power of clinically practical AI to routine imaging, resulting in image quality you have to see to believe,” said Jonathan Furuyama, managing director, MR Business Unit, Canon Medical Systems USA, Inc. “There are many advantages of utilizing 1.5T MR as opposed to 3T systems. 1.5T scanners produce less audible noise, allow for safer imaging of implants and offer lower operational costs — all of which can lead to optimal clinician and patient satisfaction above or at least equal to what a 3T system would provide.”

As part of the AiCE Challenge, radiologists and technologists were asked if they could tell the difference between images taken on the Vantage Orian 1.5T system using AiCE with standard 3T MRI images with the same acquisition protocol for both scanners. The Vantage Orian 1.5T MR system and AiCE, along with an expanded version of the AiCE Challenge, will be showcased at this year’s virtual RSNA annual meeting at Canon Medical’s unique, immersive booth, Nov. 29 – Dec. 5, 2020. Visit: https://us.medical.canon/news/events/rsna/.


* AiCE provides higher SNR compared to typical low pass filters.
** Data on file. 50 percent of Radiologists chose 1.5T MR with AiCE over 3T during AiCE challenge.

Previous

Next

Submit a Comment

Your email address will not be published. Required fields are marked *

Open